Dr. David Eckhoff

I am a Principal Scientist and the Director of the MoVES Lab at TUMCREATE, Singapore. My research focuses on future transportation technologies, simulation, the smart city, and privacy.

David Eckhoff, Falko Dressler and Christoph Sommer, "SmartRevoc: An Efficient and Privacy Preserving Revocation System Using Parked Vehicles," Proceedings of 38th IEEE Conference on Local Computer Networks (LCN 2013), Sydney, Australia, October 2013, pp. 855-862.

Abstract

Security and privacy requirements in vehicular networks are commonly addressed using a Public Key Infrastructure (PKI) and pools of pseudonymous certificates for each vehicle. Messages are signed with these certificates, so that misbehaving vehicles can be excluded from the network by disseminating Certificate Revocation Lists (CRLs). We present SmartRevoc, a novel revocation architecture, to solve the main challenges of CRL distribution in vehicular networks: CRL size, dissemination speed, and preservation of location privacy. Using two hash chains, we compute CRLs on vehicles, substantially reducing communication overhead. At the same time our design is privacy preserving, preventing the linking of past pseudonyms to revoked ones. We additionally utilize parked vehicles to epidemically disseminate CRLs and show that even few parked vehicles can outperform an unreasonably high number of Roadside Units (RSUs). Our simulation results clearly indicate that SmartRevoc is a major step forward toward more efficient and secure vehicular networks.

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David Eckhoff
Falko Dressler
Christoph Sommer

BibTeX reference

@inproceedings{eckhoff2013smartrevoc,
    author = {Eckhoff, David and Dressler, Falko and Sommer, Christoph},
    booktitle = {38th IEEE Conference on Local Computer Networks (LCN 2013)},
    title = {{SmartRevoc: An Efficient and Privacy Preserving Revocation System Using Parked Vehicles}},
    year = {2013},
    address = {Sydney, Australia},
    month = {October},
    pages = {855-862},
    publisher = {IEEE},
    doi = {10.1109/LCN.2013.6761338},
   }
   
   

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